AI/ML Systems Engineering Intern (Summer 2027)

Location: Richardson, Texas, United States; onsite internship with up to 10% travel

Expected salary: $20.00–$40.00 per hour

Company

hirify.global manufactures semiconductors for AI, cloud, and other high-growth markets.

What you will do

• Run and interpret performance experiments for classical inference pipelines and modern AI/ML model architectures.
• Build analytical models for throughput, latency, utilization, operational intensity, and memory bandwidth, and identify compute or memory bottlenecks.
• Connect workload behavior with hardware and software architecture decisions involving cache, memory subsystems, runtimes, and compilers.
• Document observations using reproducible analysis methods and present findings through reports, visualizations, and technical discussions.
• Develop toward independent ownership of a defined workload-characterization study.
• Follow Environmental, Health, Safety & Security requirements and programs.

Requirements

• Be at least a sophomore at the time of application and actively pursue a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field through an accredited program during the internship.
• Have an overall GPA of at least 3.0 and be in good academic standing.
• Have coursework or project experience applying linear algebra, probability, numerical analysis, or related mathematical methods to engineering or computing problems.
• Have a working understanding of computer architecture, including cache hierarchies, memory bandwidth, and CPU pipeline fundamentals.
• Have experience with Python and data-analysis tools such as NumPy, pandas, matplotlib, or similar.
• Have written and verbal English fluency.
• Be able to work at least 40 hours per week during the internship.
• Be able to travel up to 10%.

Nice to have

• Prior related internship or co-op experience.
• Leadership experience in the workplace, school projects, competitions, or similar settings.
• Interest in using AI tools and emerging technologies to improve productivity, streamline workflows, and support decision-making.
• Project-management skills, including innovation, execution, and navigating ambiguity.
• Strong written and verbal communication, planning, and organizational skills.
• Exposure to PyTorch or TensorFlow and concepts such as FLOP counting, operator-level profiling, or the roofline model.
• Exposure to compilation, intermediate representations, or AI compiler toolchains such as MLIR, IREE, TVM, or similar.

Culture & Benefits

• One-on-one mentorship and work assignments focused on professional growth.
• Professional development opportunities and networking with executives.
• Internship experience designed to develop entry-level talent for the semiconductor industry.
• Workplace focus on security, longevity, sustainability, and equal opportunity.